Master's student in Data Science at Bocconi University with a strong focus on advanced statistics, machine learning, and AI research. My experience spans analyzing economic network data for my bachelor's thesis to developing multimodal neural networks with Wasserstein autoencoders as part of my current research assistantship. I have additionally developed experience in reinforcement learning, NLP and text analysis, anomaly detection algorithms, agentic LLM frameworks, portfolio optimization, classification and forecasting machine learning methods, and web scraping techniques. Passionate about leveraging data-driven approaches to solve complex problems and advance innovation.
Data Science (Statistics) master's student with a strong passion for machine learning
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Atari
Atari PublicForked from leonardotonelli/dqn-atari
Ongoing project. Replication of the DQN architecture and training from scratch (using PyTorch, Gymnasium and Numpy) of the breakthough paper "Playing Atari with Deep Reinforcement Learning" of Mnih…
Python
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learning_hierarchical_compositional_structure_tree_generated_data
learning_hierarchical_compositional_structure_tree_generated_data PublicThis repository contains the codes relating to my master's thesis: Learning Hierarchical and Compositional Structure from Tree-Generated Data. Specifically, these codes were used: to solve the sadd…
Python
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